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DBMS > AnzoGraph DB vs. CrateDB vs. Firebolt vs. Riak TS

System Properties Comparison AnzoGraph DB vs. CrateDB vs. Firebolt vs. Riak TS

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCrateDB  Xexclude from comparisonFirebolt  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed Database based on LuceneHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Websitecambridgesemantics.com/­anzographcratedb.comwww.firebolt.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcratedb.com/­docsdocs.firebolt.iowww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCambridge SemanticsCrateFirebolt Analytics Inc.Open Source, formerly Basho Technologies
Initial release2018201320202015
Current release2.3, January 20215.8.1, August 20243.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthostedLinux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, but no triggers and constraints, and PostgreSQL compatibilityyesyes, limited
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions (Javascript)noErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterConfigurable replication on table/partition-leveldepending on storage layerselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesrights management via user accountsno

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More resources
AnzoGraph DBCrateDBFireboltRiak TS
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